AI Engineer, CCC Auto, Agentic

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Develop and deliver LLM-driven features and agentic workflows tailored for insurance clients.

• Collaborate with product managers and data scientists to outline challenges, implement features into production, and establish success metrics.

• Create evaluations, guardrails, and feedback mechanisms while adhering to specified token and latency budgets.

• Assess code generated by agents for accuracy, security, and design concerns.

• Sustain and enhance NLP pipelines that transform unstructured claim data into structured, actionable insights for customers.

• Construct and manage robust event-driven services featuring deterministic workflows, retries, checkpointed model outputs, and idempotency.

• Monitor model calls and agent actions for the purposes of reconstruction, auditing, source-document citations, and alerting.

• Model and query claims data across various storage solutions, including relational, document, and graph databases.

• Design systems for tenant isolation, enforce least-privilege access for agents/tools, and implement data controls for model providers.

• Compose technical design documents and gather team input prior to major modifications.

• Engage in a shared on-call rotation.

• Take ownership of features from conception through to production.

⛳️ Requirements

• A minimum of 3 years in professional software engineering, with at least one LLM-powered feature successfully shipped and operational in a production setting.

• Proficient in Python and TypeScript: writing typed, tested, asynchronous code in both languages, with substantial expertise in at least one.

• Experience in designing evaluations for LLM outputs and deploying guardrails.

• Regular use of agentic coding tools such as Claude Code, Cursor, or GitHub Copilot in production, with the capacity to limit context and validate outputs.

• Familiarity with integrating LLMs with semantic search and traditional NLP, including structured outputs, tool invocation, embedding-based retrieval, and instances where classical methods outperformed LLMs.

• Knowledge of message- or event-driven architectures, long-running workflows, retries, idempotent handlers, event-sourced states, and LLM or agent steps.

• Expertise in data modeling and development across relational, document, and graph databases like PostgreSQL, MongoDB, and Neo4j.

• Experience operating backend services on Azure or AWS, with insights into Temporal or Durable Task Scheduler.

• Proven ability to write technical design documents and secure team feedback and consensus prior to execution.

• Strong skills in both technical and non-technical writing and discussions; capable of giving and receiving constructive code reviews.

🏝️ Benefits

• 401K Match

• Paid time off

• Annual Incentive Plan Performance Bonus

• Comprehensive health insurance

• Adoption Assistance

• Tuition Reimbursement

• Wellness Programs

• Stock Purchase Plan options

• Employee Resource Groups